bhack
bhack
Do you have the same error with `model.save('model',save_format='tf')`?
Is It a subclassed model?
It could be useful if you can open a small PR creating a test like this one that it can cover your case: https://github.com/tensorflow/addons/blob/master/tensorflow_addons/layers/tests/wrappers_test.py#L149 Lets the CI on the PR...
What is the status of this?
I think in master is https://github.com/tensorflow/tensorflow/blob/master/tensorflow/compiler/mlir/lite/flatbuffer_export.cc#L2152-L2156
> you mean the 2GB limit is still true across 2.10 and master, correct? Yes that link is pointing to master. Then if we see the conversion workflow... https://www.tensorflow.org/lite/models/convert?hl=en#model_conversion
But I think that probably we could still solve using something like https://github.com/tensorflow/hub/blob/master/examples/text_embeddings/export.py#L204-L219. What do you think?
As I saw another case pointing to that workaround (https://github.com/tensorflow/tensorflow/issues/47326#issuecomment-788298828)
@abattery What do you think?